Data Science Profile of Pelin Kımız

library(tidyverse)
library(readxl) # For reading Excel files

# Read in the data below

profiles_2025 <- read_xlsx("Data Sciene Profiles.xlsx")

#dim(profiles_2025)
#colnames(profiles_2025)
#head(profiles_2025)

My Data Science Profile

I am Pelin KIMIZ!. I am from Türkiye!.

This is my Data Science Profile:

profiles_2025 |> pivot_longer(`Social Science`:`Machine Learning`, 
                              names_to = "Dimension", 
                              values_to = "Value") |> 
  filter(Name == "Pelin Kimiz") |> 
  mutate(Dimension_ordered = Dimension |> fct_inorder() |> fct_rev()) |> 
  ggplot(aes(y = Dimension_ordered, x = Value, fill = Dimension_ordered)) + geom_col() +
  labs(x = "", y = "", title = "Pelin Kımız' Data Science Profile", caption = "Source: Self-assessment 2025") +
  scale_x_continuous(limits = c(0,10), breaks = 1:10, minor_breaks = NULL) +
  scale_fill_brewer(palette = "Dark2") +
  theme_minimal(base_size = 16) +
  theme(legend.position = "none")

Background of my top data science skills: I developed my strongest data science skills by exploring how data-driven insights can enhance the understanding of legal and social systems. My interest in data analytics began during my Internet Law course, where I became curious about how data is used to regulate and interpret online behavior. Since then, I have strengthened my skills through academic coursework, self-learning, and hands-on projects using R for data analysis and visualization.

Next things I want to learn in data science: I would like to deepen my knowledge of machine learning and its applications in law and social science. I am especially interested in learning how predictive models can be used to analyze patterns in legal data and support decision-making. Additionally, I want to improve my data storytelling and dashboard design skills to communicate complex findings more effectively.